Research Engineering Lead

Skills

About the Role

Lead research and engineering efforts to improve frontier models for AI software engineering. Own experiments from dataset design through model alignment and performance optimization, build training and distillation workflows, and collaborate with infrastructure and product engineers to scale and ship model improvements.

Requirements

• Experience leading or contributing to cutting-edge LLM research at top AI labs
• Experience fine-tuning large-scale transformer models on code, natural-language, and multimodal datasets
• Experience developing state-of-the-art code-generation models
• Ability to design high-quality experiments and evaluate models effectively
• Experience mentoring researchers or engineers and leading collaborative projects across research, engineering, and product
• Publication at leading ML or AI conferences on LLMs, code intelligence, or agentic reasoning is a bonus

Responsibilities

• Design and execute experiments grounded in coding and product use cases
• Define, track, and optimize product-centric LLM performance metrics
• Partner with engineering leads to hire and develop a technical team
• Own training pipelines, distillation workflows, and synthetic-data generation systems
• Work with infrastructure and product engineers to scale and ship model improvements

Hiring Process

1. Fill in a short form and complete an intro call with the team. 2. Complete the take-home exercise. 3. Participate in two technical interviews. 4. Join a two-day trial work period, preferably on-site.